Se cargaron los datos
library(sf)
library(raster)
library(dplyr)
library(spData)
library(leaflet)
library(plotly)
library(DT)
library(tidyr)
orquideas <-
st_read(
"https://raw.githubusercontent.com/gf0604-procesamientodatosgeograficos/2021i-datos/main/gbif/orchidaceae-cr-registros.csv",
options = c(
"X_POSSIBLE_NAMES=decimalLongitude",
"Y_POSSIBLE_NAMES=decimalLatitude"
),
quiet = TRUE
)
aspcr <-
st_read(
"https://raw.githubusercontent.com/gf0604-procesamientodatosgeograficos/2021i-datos/main/sinac/asp/asp-wgs84.geojson",
quiet = TRUE
)
st_crs(aspcr) = 4326
st_crs(orquideas) = 4326
orquideas$species[orquideas$species == ""] <- "N/A"
orquideas <- orquideas %>%
filter(!is.na(coordinateUncertaintyInMeters) & coordinateUncertaintyInMeters <= 1000)%>%
filter(species!="N/A")
aspcr <- aspcr %>%
filter(descripcio!="Area Marina de Manejo" & descripcio!="Area marina protegida")
asp_registros <-
aspcr %>%
st_join(orquideas) %>%
group_by(nombre_asp) %>%
summarize(especies = n_distinct(species,na.rm = TRUE))
colores_registros <-
colorNumeric(palette = "BuPu",
domain = asp_registros$especies,
na.color = "transparent")
Se muestra un mapa a partir de los datos cargados
leaflet() %>%
addTiles(group = "OSM") %>%
addPolygons(
data = asp_registros,
fillColor = ~colores_registros(asp_registros$especies),
fillOpacity = 0.7,
stroke = TRUE,
color = "black",
weight = 1,
popup = paste(
paste(
"<strong>ASP:</strong>",
asp_registros$nombre_asp
),
paste(
"<strong>Cantidad de especies:</strong>",
asp_registros$especies
),
sep = '<br/>'
),
group = "ASP - especies"
) %>%
addLayersControl(baseGroups = c("OSM"),
overlayGroups = c("ASP - especies")) %>%
addLegend(
position = "bottomleft",
pal = colores_registros,
values = asp_registros$especies,
group = "ASP - especies",
title = "Especies de orquideas")